{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:EHVU2BMV33EIBO43VRRAK2GF2B","short_pith_number":"pith:EHVU2BMV","canonical_record":{"source":{"id":"2608.06008","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T13:13:07Z","cross_cats_sorted":[],"title_canon_sha256":"392c6780fe7fcfab21c774d1bfce21d46b7b284088ece7daf0774d2dfb76798e","abstract_canon_sha256":"affb8aceeab76a52f3f1b70675a3fde99bce1a1208beed1357253a1b1d7ced83"},"schema_version":"1.0"},"canonical_sha256":"21eb4d0595dec880bb9bac620568c5d07d5b40fadce6b8265631195ddb1765ec","source":{"kind":"arxiv","id":"2608.06008","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06008","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06008v1","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06008","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"pith_short_12","alias_value":"EHVU2BMV33EI","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"pith_short_16","alias_value":"EHVU2BMV33EIBO43","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"pith_short_8","alias_value":"EHVU2BMV","created_at":"2026-08-07T00:54:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:EHVU2BMV33EIBO43VRRAK2GF2B","target":"record","payload":{"canonical_record":{"source":{"id":"2608.06008","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T13:13:07Z","cross_cats_sorted":[],"title_canon_sha256":"392c6780fe7fcfab21c774d1bfce21d46b7b284088ece7daf0774d2dfb76798e","abstract_canon_sha256":"affb8aceeab76a52f3f1b70675a3fde99bce1a1208beed1357253a1b1d7ced83"},"schema_version":"1.0"},"canonical_sha256":"21eb4d0595dec880bb9bac620568c5d07d5b40fadce6b8265631195ddb1765ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T00:54:59.122016Z","signature_b64":"TLotf2YHaxwjx+QQv8IAgyrzqedvlfwaZwqCi/RbFAAfjDNWrmLdXbH5zw2GsABzh6OsraWqSUUObDwyrsBMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21eb4d0595dec880bb9bac620568c5d07d5b40fadce6b8265631195ddb1765ec","last_reissued_at":"2026-08-07T00:54:59.120629Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T00:54:59.120629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.06008","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-07T00:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MVxY+WfVt/7ESiQbALKRopIS830zYGfW9y4OhjcY54qGUCPsJk0NI5QOWVk3+EodanEwXF4gzOZVQh61xjCHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:39:03.100662Z"},"content_sha256":"b92c5b8c78be04ed226d2370c523af1010a409f09283ea14b4603838ad711fa7","schema_version":"1.0","event_id":"sha256:b92c5b8c78be04ed226d2370c523af1010a409f09283ea14b4603838ad711fa7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:EHVU2BMV33EIBO43VRRAK2GF2B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Sining Ang, Yan Wang, Yuguang Yang","submitted_at":"2026-08-06T13:13:07Z","abstract_excerpt":"Large video diffusion models provide rich spatiotemporal priors for autonomous driving, but existing world-action models often inherit the cost of iterative future-video generation even though deployment only requires an ego trajectory. We ask a more basic question: how much of a video diffusion model must be executed to make a reliable driving decision? Through a controlled study of video denoising timesteps and Diffusion Transformer (DiT) depth, we find that planning performance is largely insensitive to the tested video-noise levels, whereas strong trajectories can already be decoded from i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06008","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.06008/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-07T00:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hxl+2VdJ3U3A9nIuQSn1hza+junUoVgpYpbzDA3SjXBd1FZAgw8BSQ3/I//VToVy2sw35Raw1Xa+a93GbTCeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:39:03.101155Z"},"content_sha256":"6c98d0d666c38dc779eb5a94565dede6a76f5a6322f707c5a6408bf63f839bfb","schema_version":"1.0","event_id":"sha256:6c98d0d666c38dc779eb5a94565dede6a76f5a6322f707c5a6408bf63f839bfb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EHVU2BMV33EIBO43VRRAK2GF2B/bundle.json","state_url":"https://pith.science/pith/EHVU2BMV33EIBO43VRRAK2GF2B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EHVU2BMV33EIBO43VRRAK2GF2B/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T17:39:03Z","links":{"resolver":"https://pith.science/pith/EHVU2BMV33EIBO43VRRAK2GF2B","bundle":"https://pith.science/pith/EHVU2BMV33EIBO43VRRAK2GF2B/bundle.json","state":"https://pith.science/pith/EHVU2BMV33EIBO43VRRAK2GF2B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EHVU2BMV33EIBO43VRRAK2GF2B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EHVU2BMV33EIBO43VRRAK2GF2B","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"affb8aceeab76a52f3f1b70675a3fde99bce1a1208beed1357253a1b1d7ced83","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T13:13:07Z","title_canon_sha256":"392c6780fe7fcfab21c774d1bfce21d46b7b284088ece7daf0774d2dfb76798e"},"schema_version":"1.0","source":{"id":"2608.06008","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06008","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06008v1","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06008","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"pith_short_12","alias_value":"EHVU2BMV33EI","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"pith_short_16","alias_value":"EHVU2BMV33EIBO43","created_at":"2026-08-07T00:54:59Z"},{"alias_kind":"pith_short_8","alias_value":"EHVU2BMV","created_at":"2026-08-07T00:54:59Z"}],"graph_snapshots":[{"event_id":"sha256:6c98d0d666c38dc779eb5a94565dede6a76f5a6322f707c5a6408bf63f839bfb","target":"graph","created_at":"2026-08-07T00:54:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2608.06008/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large video diffusion models provide rich spatiotemporal priors for autonomous driving, but existing world-action models often inherit the cost of iterative future-video generation even though deployment only requires an ego trajectory. We ask a more basic question: how much of a video diffusion model must be executed to make a reliable driving decision? Through a controlled study of video denoising timesteps and Diffusion Transformer (DiT) depth, we find that planning performance is largely insensitive to the tested video-noise levels, whereas strong trajectories can already be decoded from i","authors_text":"Sining Ang, Yan Wang, Yuguang Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T13:13:07Z","title":"Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06008","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b92c5b8c78be04ed226d2370c523af1010a409f09283ea14b4603838ad711fa7","target":"record","created_at":"2026-08-07T00:54:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"affb8aceeab76a52f3f1b70675a3fde99bce1a1208beed1357253a1b1d7ced83","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T13:13:07Z","title_canon_sha256":"392c6780fe7fcfab21c774d1bfce21d46b7b284088ece7daf0774d2dfb76798e"},"schema_version":"1.0","source":{"id":"2608.06008","kind":"arxiv","version":1}},"canonical_sha256":"21eb4d0595dec880bb9bac620568c5d07d5b40fadce6b8265631195ddb1765ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21eb4d0595dec880bb9bac620568c5d07d5b40fadce6b8265631195ddb1765ec","first_computed_at":"2026-08-07T00:54:59.120629Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-07T00:54:59.120629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TLotf2YHaxwjx+QQv8IAgyrzqedvlfwaZwqCi/RbFAAfjDNWrmLdXbH5zw2GsABzh6OsraWqSUUObDwyrsBMCA==","signature_status":"signed_v1","signed_at":"2026-08-07T00:54:59.122016Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.06008","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b92c5b8c78be04ed226d2370c523af1010a409f09283ea14b4603838ad711fa7","sha256:6c98d0d666c38dc779eb5a94565dede6a76f5a6322f707c5a6408bf63f839bfb"],"state_sha256":"9cbfe10004ed8e804f1678fe5cb7bcf1141138a1fb248b660b099275e4ba4caf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Za05KF13ogT4eG8S9KUtlLKLzPCDoaQwjwgMJMP0KxzRm0EWgfuNau6HByrMBPbPYYUoE7fxQpOXW8z2K76VBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:39:03.104714Z","bundle_sha256":"f975485f3f0e7c4f2b302d4a780f5457c331144dba490c9f45ac302163ccc75d"}}